mirror of https://github.com/msberends/AMR.git
34 lines
2.0 KiB
R
34 lines
2.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{rsi_translation}
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\alias{rsi_translation}
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\title{Data set for R/SI interpretation}
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\format{A \code{\link{data.frame}} with 13,975 observations and 9 variables:
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\itemize{
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\item \code{guideline}\cr Name of the guideline
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\item \code{method}\cr Either "MIC" or "DISK"
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\item \code{site}\cr Body site, e.g. "Oral" or "Respiratory"
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\item \code{mo}\cr Microbial ID, see \code{\link[=as.mo]{as.mo()}}
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\item \code{ab}\cr Antibiotic ID, see \code{\link[=as.ab]{as.ab()}}
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\item \code{ref_tbl}\cr Info about where the guideline rule can be found
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\item \code{disk_dose}\cr Dose of the used disk diffusion method
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\item \code{breakpoint_S}\cr Lowest MIC value or highest number of millimeters that leads to "S"
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\item \code{breakpoint_R}\cr Highest MIC value or lowest number of millimeters that leads to "R"
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}}
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\usage{
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rsi_translation
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}
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\description{
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Data set to interpret MIC and disk diffusion to R/SI values. Included guidelines are CLSI (2011-2019) and EUCAST (2011-2020). Use \code{\link[=as.rsi]{as.rsi()}} to transform MICs or disks measurements to R/SI values.
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}
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\details{
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The repository of this \code{AMR} package contains a file comprising this exact data set: \url{https://gitlab.com/msberends/AMR/blob/master/data-raw/rsi_translation.txt}. This file \strong{allows for machine reading EUCAST and CLSI guidelines}, which is almost impossible with the Excel and PDF files distributed by EUCAST and CLSI. This file is updated automatically.
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\keyword{datasets}
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